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Can be used to track passive and active particulates such as water, plankton, plastic and fish.
lang: Python
stars: 313
last activity:
A Python wrapper to setup and run the hydrologic modelling framework Raven.
lang: Python
stars: 27
last activity:
Fast and friendly fluid dynamics on CPUs and GPUs.
lang: Julia
stars: 1.1K
last activity:
A collaborative website for better access to data and models in the hydrologic sciences.
lang: Python
stars: 185
last activity:
A collection of Python modules associated with running the SalishSeaCast ocean models system of daily nowcasts and forecasts.
lang: Python
stars: 4
last activity:
A Data Visualization tool that enables users to discover and view 3D ocean model output quickly and easily.
lang: Python
stars: 54
last activity:
A global network of nearly 4000 autonomous probes measuring pressure, temperature and salinity from the surface to 2000m depth every 10 days.
lang: Python
stars: 202
last activity:
An open source project for working with ocean wave spectral data.
lang: Python
stars: 74
last activity:
A software framework for high performance terrestrial hydrology modeling and data assimilation developed with the goal of integrating satellite and ground-based observational data products.
lang: Fortran
stars: 124
last activity:
An API that repackages hydrology datasets from the Surface Water and Ocean Topography satellite into formats that make time-series analysis easier.
lang: Python
stars: 23
last activity:
Open Data Collection System for Hydro/Meteorologic Data.
lang: Java
stars: 37
last activity:
An open-source Python framework for the analysis of groundwater time series.
lang: Python
stars: 385
last activity:
Makes it easier to use hydrological models without having intimate knowledge about how to install and run the models.
lang: Python
stars: 36
last activity: